A simplified genetic algorithm in multi-beam combination for mmWave communication system
In mmWave communication system we propose a simplified Genetic Algorithm (GA) in multiple-beam combination, which helps to overcome problems such as grating-lobe in common beam-forming algorithms, and it can get a better Signal Noise Ratio (SNR) performance at User Equipment (UE). The simplified GA...
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| Veröffentlicht in: | Telecommunication systems 2021-09, Vol.78 (1), p.15-24 |
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| container_title | Telecommunication systems |
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| creator | Bing, Liu |
| description | In mmWave communication system we propose a simplified Genetic Algorithm (GA) in multiple-beam combination, which helps to overcome problems such as grating-lobe in common beam-forming algorithms, and it can get a better Signal Noise Ratio (SNR) performance at User Equipment (UE). The simplified GA can select optimal antenna cells from massive antenna array with a lower computational complexity and higher power-efficiency. Theoretical analysis and software simulation show that the method can support more UEs with a higher power efficiency, reduce the bit error rate and computational complexity. |
| doi_str_mv | 10.1007/s11235-021-00788-9 |
| format | Article |
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| ispartof | Telecommunication systems, 2021-09, Vol.78 (1), p.15-24 |
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| language | eng |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Antenna arrays Antennas Artificial Intelligence Beamforming Bit error rate Business and Management Communications systems Complexity Computer Communication Networks Genetic algorithms IT in Business Millimeter waves Power efficiency Power management Probability Theory and Stochastic Processes Signal to noise ratio Telecommunications systems |
| title | A simplified genetic algorithm in multi-beam combination for mmWave communication system |
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